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DBMS > Apache Phoenix vs. Dgraph vs. IBM Db2 Event Store vs. NuoDB

System Properties Comparison Apache Phoenix vs. Dgraph vs. IBM Db2 Event Store vs. NuoDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDgraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDistributed and scalable native Graph DBMSDistributed Event Store optimized for Internet of Things use casesNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSGraph DBMSEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitephoenix.apache.orgdgraph.iowww.ibm.com/­products/­db2-event-storewww.3ds.com/­nuodb-distributed-sql-database
Technical documentationphoenix.apache.orgdgraph.io/­docswww.ibm.com/­docs/­en/­db2-event-storedoc.nuodb.com
DeveloperApache Software FoundationDgraph Labs, Inc.IBMDassault Systèmes infooriginally NuoDB, Inc.
Initial release2014201620172013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree developer edition availablecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC and C++C++
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyesJava, SQL
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication via RaftActive-active shard replicationyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes infoMVCC
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTemporary table
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno infoPlanned for future releasesfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Users

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More resources
Apache PhoenixDgraphIBM Db2 Event StoreNuoDB
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